About / CV
About
I am currently a diagnostic radiology resident at NYU. I got my bachelor and master of science in engineering at the University of Pennsylvania and my MD PhD at Mount Sinai. I completed my intern year at Memorial Sloan Kettering Cancer Center.
My goal is to become a radiologist who can improve implementation of machine learning techniques in clinical practice. I have research experiences in molecular imaging, radiation physics, computer vision, and artificial intelligence. I have been published in NeurIPS Proceedings (PMLR), Radiology: Artificial Intelligence (cover article Volume 3 Issue 2), Nature Medicine, Pediatrics, and more.
I fell in love with radiology, an exceptional intersection of technology and medicine, during a signals course lecture given by Andrew Maidment at The University of Pennsylvania. I completed my senior design project with him and developed methods to quantify and incorporate super resolution in digital breast tomosynthesis. I completed my master's thesis with Marni Falk at The Children's Hospital of Philadelphia and developed a technique to automate quantitation of fluorescent markers of mitochondrial physiology.
During my PhD training with Anthony Costa and Eric Oermann at Mount Sinai, I focused on developing an objective, quantitative metric to evaluate diagnostic utility of generative ML algorithms. I was part of an international federated learning project to improve the generalizability of a COVID-19 prognostication algorithm. I am continuing to work with Eric as a postdoc at the NYU OLAB to build standardized radiology datasets and improve deployment of machine learning techniques to clinical practice.
Young Joon Kwon CV.pdfAwards
Burton Drayer Prize in Radiology and Biomedical Imaging
May 2023 | Icahn School of Medicine at Mount SinaiAward given to a graduating student who has demonstrated dedication and achievement in the field of clinical radiology and biomedical imaging research.
Cover Article of Radiology: Artificial Intelligence
April 2021 | Radiological Society of North AmericaFirst-author article on multi modality, deep learning prognostication model was published as the cover article of Volume 3, Issue 2 of Radiology: Artificial Intelligence.
Excellence in Teaching Award
May 2020 | Icahn School of Medicine at Mount SinaiAward given to a student who has displayed outstanding teaching skills and has selflessly devoted significant time and energy to enhancing students' learning, generally through engagement in review sessions, labs, and tutoring.
RSNA Medical Student Research Grant
Apr 2020 | Radiological Society of North America$6,000 grant that gives medical students the opportunity to gain research experience in medical imaging and a chance to consider academic radiology as a future career option.
Society of Interventional Radiology Medical Student Scholarship
Mar 2018 | Society of Interventional RadiologySelected scholars attend the SIR Annual Scientific Meeting -- an experience that includes dedicated educational programming, presentations from leaders in the field of interventional radiology, and networking opportunities with IRs from across the world.
Bioengineering Senior Design Award
Apr 2016 | University of PennsylvaniaAward given to a graduating senior team who, in the conduct of its senior project, has best demonstrated originality and creativity in the application of engineering principles to the solution of a biomedical problem.
Herman P. Schwan Bioengineering Award
Apr 2016 | University of PennsylvaniaAward given to a graduating senior who, in the opinion of the faculty, has demonstrated the highest standards of scholarship and academic achievement.
SIMD Travel Award
Apr 2016 | Society of Inherited Metabolic Disorders$1000 travel award to present original research on flunarizine rescue of Batten disease at the Annual SIMD Conference